摘要
风电的随机性和波动性给电力系统的运行与控制带来了挑战。在研究新疆某地风电负荷数据的基础上得到了风荷耦合特性,基于此提出一种源荷储双层优化调度策略。上层优化模型以风电消纳最大为目标,通过风荷耦合特性确定工业负荷转移时段及容量,并得到常规机组的运行情况形成日前调度计划。下层优化模型以系统运行成本最优为目标,基于上层优化结果,通过调节常规机组出力及储能电站充放电功率来抑制风电波动。最后通过改进的粒子群算法求解模型验证了所提调度策略的有效性。
The randomicity and fluctuation of wind power creates many challenges for power system.The paper carries out the research about the wind power load data from a certain place in Xinjiang,obtains wind-load coupling characteristics,and proposes a bi-level optimal scheduling strategy of source-load-storage.The goal of optimal scheduling with upper level model is to maximize wind power accommodation.According to the wind-load coupling characteristics,the time interval and capacity of industrial load transfer is determined,and the operation status of conventional unit is obtained to make the day-ahead dispatch plan.The goal of optimal scheduling with lower level model is to optimize the system operation cost.Based on the optimizations with upper level model,the output regulation of the conventional unit and the charging and discharging power control in energy storage system is used for smoothing wind power fluctuation.Finally,the effectiveness of the scheduling strategy is verified by solving the model with an improved particle swarm optimization algorithm.
作者
刘海南
蔺红
樊国旗
程林
LIU Hainan;LIN Hong;FAN Guoqi;CHENG Lin(School of Electrical Engineering,Xinjiang University,Urumqi 830047,China;State Grid Jinhua Power Supply Company,Jinhua 321001,China;Northwest Branch of State Grid Corporation of China,Xi’an 710048,China)
出处
《智慧电力》
北大核心
2021年第1期42-47,共6页
Smart Power
基金
国家自然科学基金资助项目(51667019)。
关键词
协调互动
风电消纳
风荷耦合特性
coordination and interaction
wind power accommodation
wind-load coupling characteristics
